class_docstr: Standalone Multiply-and-accumulate metric. Provides a lower bound of the
  computational cost of a model in a hardware-independent way by
  computing the number of multiplications. Currently supports only
  Linear or Conv2d modules. Other operations are ignored.
code: def reset(self):
      pass
  
imports: from torch.nn import Module
  from typing import List, Optional
  from torch import Tensor
  from avalanche.evaluation import Metric, PluginMetric, GenericPluginMetric
label_desc: Use image node_id 4 for calling the MAC obj's underlying member method code with example usage: obj.reset() without return types